A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia
The data described in this paper were part of a large-scale nationally representative household survey, the Ethiopian Socioeconomic Survey (ESS 2018/19). Grain samples of barley, maize and sorghum were collected in six regions in Ethiopia. Variety identification was assessed by matching samples to a...
| Autores principales: | , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/114696 |
| _version_ | 1855535594961108992 |
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| author | Kosmowski, Frederic Ambel, A. Tsegay, A.H. Negawo, Alemayehu T. Carling, J. Kilian, Andrzej Central Statistics Agency, Ethiopia |
| author_browse | Ambel, A. Carling, J. Central Statistics Agency, Ethiopia Kilian, Andrzej Kosmowski, Frederic Negawo, Alemayehu T. Tsegay, A.H. |
| author_facet | Kosmowski, Frederic Ambel, A. Tsegay, A.H. Negawo, Alemayehu T. Carling, J. Kilian, Andrzej Central Statistics Agency, Ethiopia |
| author_sort | Kosmowski, Frederic |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The data described in this paper were part of a large-scale nationally representative household survey, the Ethiopian Socioeconomic Survey (ESS 2018/19). Grain samples of barley, maize and sorghum were collected in six regions in Ethiopia. Variety identification was assessed by matching samples to a reference library composed of released improved materials, using approximately 50,000 markers from DArTseq platforms. This data were part of a study documenting the reach of CGIAR-related germplasms in Ethiopia. These objective measures of crop varietal adoption, unique in the public domain, can be analyzed along with a large set of variables related to agro-ecologies, household characteristics and plot management practices, available in the Ethiopian Socioeconomic Survey 2018/19. |
| format | Journal Article |
| id | CGSpace114696 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1146962025-12-08T09:54:28Z A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia Kosmowski, Frederic Ambel, A. Tsegay, A.H. Negawo, Alemayehu T. Carling, J. Kilian, Andrzej Central Statistics Agency, Ethiopia crop production dna fingerprinting farm surveys crop yield farming systems data sorghum barley maize The data described in this paper were part of a large-scale nationally representative household survey, the Ethiopian Socioeconomic Survey (ESS 2018/19). Grain samples of barley, maize and sorghum were collected in six regions in Ethiopia. Variety identification was assessed by matching samples to a reference library composed of released improved materials, using approximately 50,000 markers from DArTseq platforms. This data were part of a study documenting the reach of CGIAR-related germplasms in Ethiopia. These objective measures of crop varietal adoption, unique in the public domain, can be analyzed along with a large set of variables related to agro-ecologies, household characteristics and plot management practices, available in the Ethiopian Socioeconomic Survey 2018/19. 2021-06-03 2021-08-18T11:29:50Z 2021-08-18T11:29:50Z Journal Article https://hdl.handle.net/10568/114696 en Open Access MDPI Kosmowski, F., Ambel, A., Tsegay, A.H., Negawo, A.T., Carling, J., Kilian, A. and The Central Statistics Agency. 2021. A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia. Data 6(6):58. |
| spellingShingle | crop production dna fingerprinting farm surveys crop yield farming systems data sorghum barley maize Kosmowski, Frederic Ambel, A. Tsegay, A.H. Negawo, Alemayehu T. Carling, J. Kilian, Andrzej Central Statistics Agency, Ethiopia A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia |
| title | A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia |
| title_full | A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia |
| title_fullStr | A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia |
| title_full_unstemmed | A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia |
| title_short | A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia |
| title_sort | large scale dataset of barley maize and sorghum variety identification using dna fingerprinting in ethiopia |
| topic | crop production dna fingerprinting farm surveys crop yield farming systems data sorghum barley maize |
| url | https://hdl.handle.net/10568/114696 |
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